Siri, Eval Architect Engineer
Apple · Cupertino, CA · Machine Learning and AI
About this role
Apple is hiring a mid-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with LLMs, MLOps, CI/CD, Distributed Systems.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Location
- Cupertino, CA
- Department
- Machine Learning and AI
- Posted
- Apr 21, 2026
More roles at Apple
Job description
from Apple careersDo you want to define the architecture of the systems that measure Siri's quality across every platform, every locale, and every model update? Apple's Agentic Eval Engineering organization is building the evaluation infrastructure that determines how Siri's quality is measured, trusted, and improved — spanning large-scale automation on real devices, model-in-the-loop simulation, AI-powered auto-evaluators, and closed-loop agentic fix pipelines.
We are seeking a senior Eval Systems Architect to own the end-to-end technical vision and system architecture across our entire evaluation stack, ensuring that we build toward a coherent, scalable, and trustworthy system.
As the Eval Systems Architect, you will own the technical architecture of Siri's evaluation infrastructure — a system spanning real-device automation, simulated product evaluation, AI-powered auto-evaluators, developer workflows, and observability tooling. You will work across the Agentic Eval Engineering and Siri to ensure architectural coherence, define interfaces and contracts between systems, and drive the technical roadmap for the evaluation platform as a whole.